mirror of
https://github.com/BerriAI/litellm.git
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106 lines
3.9 KiB
Python
106 lines
3.9 KiB
Python
# +-----------------------------------------------+
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# | |
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# | PII Masking |
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# | with Microsoft Presidio |
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# | https://github.com/BerriAI/litellm/issues/ |
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# +-----------------------------------------------+
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#
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# Tell us how we can improve! - Krrish & Ishaan
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from typing import Optional
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import litellm, traceback, sys
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from litellm.caching import DualCache
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from litellm.proxy._types import UserAPIKeyAuth
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from litellm.integrations.custom_logger import CustomLogger
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from fastapi import HTTPException
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from litellm._logging import verbose_proxy_logger
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from litellm import ModelResponse
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from datetime import datetime
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import aiohttp, asyncio
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class _OPTIONAL_PresidioPIIMasking(CustomLogger):
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user_api_key_cache = None
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# Class variables or attributes
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def __init__(self):
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self.presidio_analyzer_api_base = litellm.get_secret(
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"PRESIDIO_ANALYZER_API_BASE", None
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)
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self.presidio_anonymizer_api_base = litellm.get_secret(
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"PRESIDIO_ANONYMIZER_API_BASE", None
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)
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if self.presidio_analyzer_api_base is None:
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raise Exception("Missing `PRESIDIO_ANALYZER_API_BASE` from environment")
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elif not self.presidio_analyzer_api_base.endswith("/"):
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self.presidio_analyzer_api_base += "/"
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if self.presidio_anonymizer_api_base is None:
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raise Exception("Missing `PRESIDIO_ANONYMIZER_API_BASE` from environment")
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elif not self.presidio_anonymizer_api_base.endswith("/"):
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self.presidio_anonymizer_api_base += "/"
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def print_verbose(self, print_statement):
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try:
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verbose_proxy_logger.debug(print_statement)
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if litellm.set_verbose:
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print(print_statement) # noqa
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except:
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pass
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async def check_pii(self, text: str) -> str:
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try:
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async with aiohttp.ClientSession() as session:
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# Make the first request to /analyze
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analyze_url = f"{self.presidio_analyzer_api_base}/analyze"
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analyze_payload = {"text": text, "language": "en"}
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async with session.post(analyze_url, json=analyze_payload) as response:
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analyze_results = await response.json()
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# Make the second request to /anonymize
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anonymize_url = f"{self.presidio_anonymizer_api_base}/anonymize"
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anonymize_payload = {
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"text": "hello world, my name is Jane Doe. My number is: 034453334",
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"analyzer_results": analyze_results,
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}
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async with session.post(
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anonymize_url, json=anonymize_payload
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) as response:
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redacted_text = await response.json()
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return redacted_text["text"]
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except Exception as e:
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traceback.print_exc()
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raise e
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async def async_pre_call_hook(
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self,
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user_api_key_dict: UserAPIKeyAuth,
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cache: DualCache,
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data: dict,
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call_type: str,
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):
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"""
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- Take the request data
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- Call /analyze -> get the results
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- Call /anonymize w/ the analyze results -> get the redacted text
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For multiple messages in /chat/completions, we'll need to call them in parallel.
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"""
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if call_type == "completion": # /chat/completions requests
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messages = data["messages"]
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tasks = []
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for m in messages:
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if isinstance(m["content"], str):
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tasks.append(self.check_pii(text=m["content"]))
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responses = await asyncio.gather(*tasks)
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for index, r in enumerate(responses):
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if isinstance(messages[index]["content"], str):
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messages[index][
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"content"
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] = r # replace content with redacted string
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return data
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